Post your PICOT question the search terms used, and the names of at least two databases used for your PICO(T) question

Post your PICOT question the search terms used, and the names of at least two databases used for your PICO(T) question

Discussion: Searching Databases

When you decide to purchase a new car, you first decide what is important to you. If mileage and dependability are the important factors, you will search for data focused more on these factors and less on color options and sound systems.

The same holds true when searching for research evidence to guide your clinical inquiry and professional decisions. Developing a formula for an answerable, researchable question that addresses your need will make the search process much more effective. One such formula is the PICO(T) format.

In this Discussion, you will transform a clinical inquiry into a searchable question in PICO(T) format, so you can search the electronic databases more effectively and efficiently. You will share this PICO(T) question and examine strategies you might use to increase the rigor and effectiveness of a database search on your PICO(T) question.

To Prepare:

• Review the materials offering guidance on using databases, performing keyword searches, and developing PICO(T) questions provided in the Resources.
• Review the Resources for guidance and develop a PICO(T) question of interest to you for further study.

By Day 3 of Week 4

Post your PICO(T) question, the search terms used, and the names of at least two databases used for your PICO(T) question. Then, describe your search results in terms of the number of articles returned on original research and how this changed as you added search terms using your Boolean operators. Finally, explain strategies you might make to increase the rigor and effectiveness of a database search on your PICO(T) question. Be specific and provide examples.

Rubric Detail

	Excellent	Good	Fair	Poor
Main Posting	45 (45%) – 50 (50%) Answers all parts of the discussion question(s) expectations with reflective critical analysis and synthesis of knowledge gained from the course readings for the module and current credible sources.   Supported by at least three current, credible sources.   Written clearly and concisely with no grammatical or spelling errors and fully adheres to current APA manual writing rules and style.	40 (40%) – 44 (44%) Responds to the discussion question(s) and is reflective with critical analysis and synthesis of knowledge gained from the course readings for the module.   At least 75% of post has exceptional depth and breadth.   Supported by at least three credible sources.   Written clearly and concisely with one or no grammatical or spelling errors and fully adheres to current APA manual writing rules and style.	35 (35%) – 39 (39%) Responds to some of the discussion question(s).   One or two criteria are not addressed or are superficially addressed.   Is somewhat lacking reflection and critical analysis and synthesis.   Somewhat represents knowledge gained from the course readings for the module.   Post is cited with two credible sources.   Written somewhat concisely; may contain more than two spelling or grammatical errors.   Contains some APA formatting errors.	0 (0%) – 34 (34%) Does not respond to the discussion question(s) adequately.   Lacks depth or superficially addresses criteria.   Lacks reflection and critical analysis and synthesis.   Does not represent knowledge gained from the course readings for the module.   Contains only one or no credible sources.   Not written clearly or concisely.   Contains more than two spelling or grammatical errors.   Does not adhere to current APA manual writing rules and style.
Main Post: Timeliness	10 (10%) – 10 (10%) Posts main post by day 3.	0 (0%) – 0 (0%)	0 (0%) – 0 (0%)	0 (0%) – 0 (0%) Does not post by day 3.
First Response	17 (17%) – 18 (18%) Response exhibits synthesis, critical thinking, and application to practice settings.   Responds fully to questions posed by faculty.   Provides clear, concise opinions and ideas that are supported by at least two scholarly sources.   Demonstrates synthesis and understanding of learning objectives.   Communication is professional and respectful to colleagues.   Responses to faculty questions are fully answered, if posed.   Response is effectively written in standard, edited English.	15 (15%) – 16 (16%) Response exhibits critical thinking and application to practice settings.   Communication is professional and respectful to colleagues.   Responses to faculty questions are answered, if posed.   Provides clear, concise opinions and ideas that are supported by two or more credible sources.   Response is effectively written in standard, edited English.	13 (13%) – 14 (14%) Response is on topic and may have some depth.   Responses posted in the discussion may lack effective professional communication.   Responses to faculty questions are somewhat answered, if posed.   Response may lack clear, concise opinions and ideas, and a few or no credible sources are cited.	0 (0%) – 12 (12%) Response may not be on topic and lacks depth.   Responses posted in the discussion lack effective professional communication.   Responses to faculty questions are missing.   No credible sources are cited.
Second Response	16 (16%) – 17 (17%) Response exhibits synthesis, critical thinking, and application to practice settings.   Responds fully to questions posed by faculty.   Provides clear, concise opinions and ideas that are supported by at least two scholarly sources.   Demonstrates synthesis and understanding of learning objectives.   Communication is professional and respectful to colleagues.   Responses to faculty questions are fully answered, if posed.   Response is effectively written in standard, edited English.	14 (14%) – 15 (15%) Response exhibits critical thinking and application to practice settings.   Communication is professional and respectful to colleagues.   Responses to faculty questions are answered, if posed.   Provides clear, concise opinions and ideas that are supported by two or more credible sources.   Response is effectively written in standard, edited English.	12 (12%) – 13 (13%) Response is on topic and may have some depth.   Responses posted in the discussion may lack effective professional communication.   Responses to faculty questions are somewhat answered, if posed.   Response may lack clear, concise opinions and ideas, and a few or no credible sources are cited.	0 (0%) – 11 (11%) Response may not be on topic and lacks depth.   Responses posted in the discussion lack effective professional communication.   Responses to faculty questions are missing.   No credible sources are cited.
Participation	5 (5%) – 5 (5%) Meets requirements for participation by posting on three different days.	0 (0%) – 0 (0%)	0 (0%) – 0 (0%)	0 (0%) – 0 (0%) Does not meet requirements for participation by posting on 3 different days.
Total Points: 100

Expert Answer and Explanation

Searching Databases

The PICOT Question

Chronic diseases have become common among the ageing population, and hence developing a PICOT question for them can aid in improving the intervention (Pérez-Jover et al., 2018). The target patients for the intervention is chronic disease patients aged above 65 years. The interventions targeted are therapies and medications for these diseases they have. The comparison is having a different line of therapy or lack of treatment completely.

The outcome is reduced presentation of symptoms by the patients. The time element is a period of 12 months in which the patient progress is expected to be monitored. The PICOT question therefore reads as follows, ‘What is the impact of implementing telehealth systems in the medication and therapy on the reduction of symptoms of chronic disease patients aged above 65 years for a period of 12 months?’

Databases Used for the PICOT Question

There are several databases that could be used to search for information regarding health topics. Since this specific problem involves the use of therapy programs and medication, nursing databases are the most suitable for searching for this kind of information. The CINAHL database is the first candidate, as it is known to have numerous collection of nursing articles, which are summary of evidence since the 1940s (Hopia & Heikkilä, 2020). MEDLINE is also used in this search as it contains articles with a broad range of medical topics. Also, both databases are easily accessible.

Search Results in Original Search and After Adding Boolean Operators

In the original search, the search results had a broad range of sources that could be crucial in getting much of the background information about the topic in question. These broad sources, however, could not help in getting specific information that is required in decision making for the issue in question. After adding Boolean operators, the search was more refined, as it was easier to find specific information about the database (Usuzaki et al., 2020). Also, the fact that these Boolean operators could help in getting specific results helped to reduce the time taken to get the specific information from the databases (Usuzaki et al., 2020). Among the Boolean operators that were used were OR, NOT, and AND.

Strategies to Increase the Rigor of a Database Search on my PICOT Question

Among the strategies that can be used to improve the rigor of a database is searching more than one database. While it is likely that much of the information from searching one concept in two databases will be same, it is always likely that one database could have an additional influential finding. Another strategy is combining the search using Boolean operators, which helps to have a broader or narrower search depending on the intentions of the researcher.

Also, for one to improve the rigor of a search in a database, it is crucial that they constantly revise their search strategy if they realize that one is not giving the desirable results (Coordinators, 2017).  Most importantly, researchers should have information about some of the basic database rules that could have a large implication on their findings. For example, if a database requires that a researcher performs the search using a specific search strategy, it is likely that employing that search strategy could help to reveal more outcomes of the database.

References

Coordinators, N. R. (2017). Database resources of the national center for biotechnology information. Nucleic acids research, 45(Database issue), D12.

Hopia, H., & Heikkilä, J. (2020). Nursing research priorities based on CINAHL database: A scoping review. Nursing Open, 7(2), 483-494.

Pérez-Jover, V., Mira, J. J., Carratala-Munuera, C., Gil-Guillen, V. F., Basora, J., López-Pineda, A., & Orozco-Beltrán, D. (2018). Inappropriate use of medication by elderly, polymedicated, or multipathological patients with chronic diseases. International journal of environmental research and public health, 15(2), 310.

Usuzaki, T., Shimoyama, M., Chiba, S., Mori, N., & Mugikura, S. (2020). A Method Expanding 2 by 2 Contingency Table by Obtaining Tendencies of Boolean Operators: Boolean Monte Carlo Method. arXiv preprint arXiv:2002.04721.

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discussion searching databases, tips for searching databases, database searching techniques, what is database searching, database search methods, database search strategy example

FAQs

Tips for Searching Databases

Are you a student, researcher, or professional who often relies on databases to find information? With an abundance of databases available today, it can be overwhelming to know where to start and how to conduct an effective search. This article will provide you with tips and tricks to help you search databases efficiently and effectively.

Understanding Databases

Before we dive into the tips, let’s first understand what a database is. A database is an organized collection of data that can be accessed, managed, and updated. Databases are used to store and retrieve information, and they can range from simple lists to complex collections of documents, images, and multimedia files.

Choosing the Right Database

The first step in searching a database is to choose the right one. With so many databases available, it’s essential to select the one that best suits your needs. Determine the type of information you are searching for and the subject area. Look for databases that specialize in your field of study or interest. Also, consider the database’s coverage and currency. Ensure that the database you choose provides up-to-date and relevant information.

Creating a Search Strategy

Once you have selected the database, it’s time to create a search strategy. Start by identifying the keywords and phrases that describe your topic. Consider synonyms and related terms that might be used in the literature. Use quotation marks to search for exact phrases and Boolean operators (AND, OR, NOT) to narrow or broaden your search. Avoid using stop words, such as “the,” “a,” and “an,” as they are commonly ignored by databases.

Refining Search Results

After conducting a search, you may find yourself overwhelmed by the number of results. To refine your results, use the filters provided by the database. These filters can help you narrow your search by date, author, language, and publication type. Also, pay attention to the abstract and title of the articles. They can give you an idea of the article’s relevance and save you time reading irrelevant articles.

Utilizing Advanced Search Options

Most databases have advanced search options that can help you conduct a more precise search. These options may include field searching, such as searching for keywords in the title or abstract, and truncation, which allows you to search for variations of a word. Take advantage of these features to improve the accuracy of your search.

Saving Search Results

It’s essential to save your search results for future reference. Most databases allow you to save search results to a folder or export them to a citation management software. By doing so, you can easily retrieve the information when needed, and it saves you time conducting the search again.

Keeping Up-To-Date

Finally, it’s crucial to keep up-to-date with the latest research and literature in your field. Most databases provide alerts that notify you when new articles are published that match your search criteria. Consider setting up alerts to stay current with the latest developments in your field.

Conclusion

Searching databases can be a daunting task, but with these tips and tricks, you can conduct an effective and efficient search. Remember to choose the right database, create a search strategy, refine search results, utilize advanced search options, save search results, and keep up-to-date with the latest research.

FAQs

1. What is a database? A database is an organized collection of data that can be accessed, managed, and updated.
2. How do I choose the right database? Consider the type of information you are searching for, the subject area, the database’s coverage and currency, and look for databases that specialize in your field of study or interest.

Database Searching Techniques: A Comprehensive Guide for Researchers

In the era of big data, researchers must have a clear understanding of database searching techniques. With the abundance of information available on the internet, it is crucial to know how to navigate through the vast amount of data and retrieve relevant information efficiently. In this article, we will provide you with a comprehensive guide on database searching techniques that will help you to refine your search and retrieve precise information in a shorter amount of time.

Introduction

In this section, we will provide you with an overview of database searching techniques. We will also discuss why it is crucial to have a clear understanding of these techniques for researchers.

What are database searching techniques?

Database searching techniques are the methods used to find relevant information from large data sets. Researchers use these techniques to navigate through vast amounts of data to find specific information that is relevant to their research. These techniques help researchers to refine their search and retrieve precise information in a shorter amount of time.

Why are database searching techniques important for researchers?

As a researcher, you will often have to deal with vast amounts of data. Without proper knowledge of database searching techniques, it can be challenging to retrieve relevant information in a timely and efficient manner. Knowing how to navigate through the vast amount of data and retrieve relevant information efficiently can save you a significant amount of time, effort, and resources.

Understanding Boolean Operators

Boolean operators are essential in refining your search and retrieving relevant information efficiently. In this section, we will provide you with an overview of Boolean operators and how to use them.

What are Boolean Operators?

Boolean operators are words or symbols used to connect search terms in a search query. The three main Boolean operators are AND, OR, and NOT. Using these operators in your search query can help you refine your search and retrieve more precise results.

How to use Boolean Operators?

Using Boolean operators is relatively easy. To use the AND operator, you have to put the term AND between two search terms. For example, if you want to find articles about cancer and chemotherapy, you can type “cancer AND chemotherapy” in the search box. The search engine will only retrieve articles that contain both terms.

To use the OR operator, you have to put the term OR between two search terms. For example, if you want to find articles about cancer or chemotherapy, you can type “cancer OR chemotherapy” in the search box. The search engine will retrieve articles that contain either term.

To use the NOT operator, you have to put the term NOT before the search term you want to exclude. For example, if you want to find articles about cancer but exclude articles about chemotherapy, you can type “cancer NOT chemotherapy” in the search box. The search engine will retrieve articles that contain the term cancer but exclude articles that contain the term chemotherapy.

Understanding Truncation and Wildcards

Truncation and wildcards are essential in retrieving information from databases. In this section, we will provide you with an overview of truncation and wildcards and how to use them.

What is truncation?

Truncation is a technique used to search for all variations of a word. It involves using a symbol to replace the end of a word. For example, if you want to find articles that contain the word “search,” you can type “search*” in the search box. The search engine will retrieve articles that contain the words “search,” “searching,” “searched,” and so on.

What are wildcards?

Wildcards are symbols used to represent one or more characters in a search query. They help to retrieve variations of a word or phrase. The two most commonly used wildcards are the question mark and the asterisk. The question mark represents a single character, while the asterisk represents multiple characters.

Database Search Methods: A Comprehensive Guide

In today’s digital age, data has become an essential resource for businesses, organizations, and individuals. The ability to find, access, and analyze relevant data is critical for decision-making and staying ahead of the competition. With the vast amount of data available, searching for the right information can be a daunting task. This is where database search methods come in, enabling users to efficiently and effectively find the data they need. In this article, we will explore the different database search methods, their advantages and disadvantages, and how to use them.

Introduction to Database Search Methods

Before delving into the different database search methods, it’s essential to understand what a database is and how it works. A database is a collection of data that is organized in a specific way, making it easy to access, manage, and update. To search a database, you need a query language, which is a standardized method of retrieving information. There are different types of query languages, but the most commonly used are SQL (Structured Query Language) and NoSQL (Not only SQL).

Types of Database Search Methods

1. Exact Match Search

An exact match search is the simplest and most common database search method. It involves searching for an exact match of the search term in the database. For example, if you search for “apple,” the database will only return results that contain the exact word “apple.” This search method is useful when you have a specific query and need precise results.

2. Keyword Search

A keyword search is a more flexible search method that involves searching for a specific keyword or phrase in the database. Unlike an exact match search, a keyword search will return results that contain variations of the keyword or phrase. For example, if you search for “apple,” the database will also return results that contain “apples,” “apple juice,” and “apple pie.” This search method is useful when you want to cast a wider net and find all relevant results.

3. Boolean Search

A Boolean search is a search method that uses logical operators (AND, OR, NOT) to refine search results. It allows users to combine keywords and phrases to create complex search queries. For example, if you search for “apple AND pie,” the database will only return results that contain both “apple” and “pie.” This search method is useful when you want to narrow down your search results and find specific information.

4. Fuzzy Search

A fuzzy search is a search method that returns results that are similar to, but not exactly the same as, the search term. It is useful when the exact spelling of the search term is unknown or when there may be variations in spelling or phrasing. For example, if you search for “apple,” a fuzzy search may also return results that contain “aple” or “apl.” This search method is useful when you want to find similar results and are not concerned with exact matches.

5. Proximity Search

A proximity search is a search method that returns results based on the proximity of two or more search terms. It is useful when you want to find results where specific terms appear close together. For example, if you search for “apple NEAR pie,” the database will return results where “apple” and “pie” appear within a certain number of words of each other. This search method is useful when you want to find results that are closely related.